pr-cleanup

pr-cleanup is a skill for Claude Code, Codex from jl-cmd/claude-dev-env. It costs 64 tokens per session (1,344 once invoked), scanned A, original, MIT.

A complete workflow for cleaning up a GitHub pull request through shared-code review, capability-based naming, focused delivery, simplification, and final review. It coordinates several specialized checks while keeping merge control with the user.

In plain words
What is it for?
Cleaning up and reviewing pull requests, extracting reusable helpers, renaming code around what it does, deciding whether to split work, and verifying the final changes before merge.
Why use it?
It helps bring a pull request back to one clear, reviewable purpose when code placement, naming, scope, or complexity have drifted. It also defines checks before changes are promoted or marked ready.

Skill for Claude CodeCodex

Part of the claude-dev-env plugin — 62 skills, 3 commands, 9 agents, 8 hooks shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jl-cmd/claude-dev-env/pr-cleanup
Any agent
npx skills add jl-cmd/claude-dev-env --skill pr-cleanup
Clone the repo
git clone --depth 1 https://github.com/jl-cmd/claude-dev-env

Made for: Claude Code, Codex.

Or install claude-dev-env, the plugin that ships this one along with the rest of its 62 skills, 3 commands, 9 agents, 8 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for pr-cleanup

README.md
[![agentmods](https://agentmods.dev/badge/skills/jl-cmd/claude-dev-env/pr-cleanup.svg)](https://agentmods.dev/skills/jl-cmd/claude-dev-env/pr-cleanup)
Your own site
<a href="https://agentmods.dev/skills/jl-cmd/claude-dev-env/pr-cleanup"><img src="https://agentmods.dev/badge/skills/jl-cmd/claude-dev-env/pr-cleanup.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,344 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00064 $0.01344
Opus 5 $0.00032 $0.00672
Sonnet 5 $0.00013 $0.00269
Haiku 4.5 $0.00006 $0.00134

Measured 4d ago against content hash e6f6d2f35da7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pr-cleanup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

packages/claude-dev-env/.agents/skills/pr-cleanup/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR cleanup

Contents

Principle

One coding agent owns the cleanup outcome. pr-refinement coordinates parallel preflight audits and produces findings, tested proposals, a combined change map, and a delivery decision for the cleanup owner. Parent-to-child promotion uses exact commit ancestry and fresh child-head checks.

When this applies

Use this skill for a pull request that needs placement review, capability naming, cleanup convergence, and a focused delivery boundary.

Required input: a pull request URL, number, or branch. If the target is missing, respond exactly: Give a GitHub PR number, URL, or branch for pr-cleanup.

Use the repository that owns the target pull request. Keep every pull request in draft state until its applicable Ready gate is complete. Keep merge authority with the user.

Composition

Skill Role Evidence
pr-refinement Run the parallel audits, combine findings, and coordinate implementation shape Change map and delivery decision
pr-shared-extraction Find reusable behavior that belongs in shared_utils Placement findings and tested proposal
pr-name-by-capability Find driver or motive words on reusable capability surfaces Naming findings and rename directions
pr-small-cl Choose one coherent pull request or an ordered replacement stack Focused boundary and dependencies
source-command-sr-loop Run e-simplify, then e-code-review low --fix until clean Review passes, fixes, and validation
pr-summarizer (repo-local) When the repository under cleanup ships .claude/skills/pr-summarizer/, run it after Ready and post the secret-gist preview comment Preview URL and comment confirmation

Task seeding

Read the full file on GitHub · 141 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 141 lines · 64 tokens per session scan A e6f6d2f35da7

Subscribe to this mod's changes

pr-cleanup is a skill published in the GitHub repository jl-cmd/claude-dev-env (5 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 1,344 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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